Trent AI Raises $13M to Secure the Agentic Age

LONDON--(BUSINESS WIRE)--Apr 7, 2026--

Trent AI, an agentic security company, today announced its emergence from stealth with a layered security solution built for the agentic era. Following a $13M seed round led by LocalGlobe and Cambridge Innovation Capital, with participation from leaders at OpenAI, Spotify, Databricks, AWS and others, the product is the first multi-agent security solution designed to secure agents as they evolve. Led by strong conviction that security should be continuous, invisible and scalable, Trent AI’s leadership team brings deep experience from Spotify, AWS, Alcion (acquired by Veeam) and Confluent.

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“Organizations are deploying AI agents and autonomous workflows faster than their security can adapt, and most development teams using these agents and workflows have no security framework designed for their systems,” said Eno Thereska, Co-founder and CEO of Trent AI. “This is not an easy problem to solve. Trent AI is tackling these difficult and important problems, while building the necessary security foundations and frameworks for agentic systems now and through the next decade.”

According to Deloitte’s 2026 State of AI report, nearly 3 in 4 (74%) companies plan to deploy agentic AI within two years. Despite this, only 1 in 5 (21%) report having a mature model for governance of autonomous agents. The threat increases in complex environments with interconnected agents, with security holes risking the entire infrastructure; driving the need for a security and compliance solution that encompasses the entire agentic ecosystem.

Trent AI’s Unified Security Solution

Built for developers and security teams that want to develop and ship agents fast without compromising security, Trent AI’s layered, unified offering secures agents throughout the entire lifecycle. Every cycle makes Trent AI’s agents smarter about the systems they protect. As the feedback loop tightens, judgement improves and mitigations become more accurate, giving development and security teams a faster, more reliable path to safe deployment. Agents in the loop work to:

Design partners, companies with early access to the Trent AI agentic security solution, including Canopy, Commscentre, ML@Cam, Qbeast, Weblogic and others are already seeing tangible benefits to security and deployment. These partners have reported: immediate visibility into their security posture, a security audit report, fast response time identifying and presenting vulnerabilities, a clean and well laid out remediation scope and adaptive feedback.

Investors Back the Future of Agentic Security

In addition to LocalGlobe and Cambridge Innovation Capital, prominent angel investors involved in the launch include OpenAI Member of Technical Staff Joaquin Quiñonero Candela, former Head of Stripe Data Infrastructure and current Director at AWS Avinash Bhat, Databricks Distinguished Engineer Ippokratis Pandis, former Spotify VP Engineering and Head of AI/ML Tony Jebara and others.

“Agent adoption is outpacing enterprise security readiness. As autonomous workflows make decisions across critical systems, a new layer of infrastructure is needed to govern, observe, and enforce safe behavior,” said Cambridge Innovation Capital Partner Ian Lane. “We believe Trent AI is well placed to define this category.”

"The rise of agents goes hand in hand with the rise of new security threats,” said Saul Klein, Co-founder and Executive Chairman of Phoenix Court, the home of LocalGlobe. “Now is the right time to build the long-term foundations of security for agentic systems. Trent AI is uniquely positioned to do this, combining deep academic expertise with real-world experience building large-scale systems and working closely with design partners deploying agents today.”

"Agentic systems are quickly becoming part of the software stack, but the security infrastructure around them is still early,” said Avinash Bhat, Director at AWS. “Trent is building the foundations teams will need, to operate these systems safely at scale. I’m excited to support Eno and the team as they tackle this emerging challenge."

“AI models have led to an exponential growth in code being generated by companies big and small. That code brings along an exponential growth in security risks, vulnerabilities and threats... and human security teams just can't keep up,” said Tony Jebara, former Spotify VP Engineering and Head of AI/ML. “We desperately need specialized AI models that can analyze this flood of code, produce security assessments and provide mitigations. Trent AI is providing just that: securing your code at all stages, all the way from the initial design stage to large code repositories."

Trent AI is active in the security and AI community, currently a Partner Startup member of OWASP, the Open Worldwide Application Security Project, as well as a Startup Partner with Carnegie Mellon University’s CyLab Venture Network and is also engaged with providing a Security Agent for open-source platforms such as OpenClaw.

To learn more about Trent AI or sign up for the security solution waitlist, please visit trent.ai.

FAQ

About Trent AI

Trent AI is redefining agentic AI with context-driven agentic security. Its proprietary judgement layer and reinforcement learning technology power a collection of specialized security agents. By orchestrating these agents across customer workflows, Trent AI transforms agentic security into an effortless, continuous part of agent development. Trent AI was launched in 2025 by co-founders: Eno Thereska, former Distinguished Engineer at Alcion (acquired by Veeam), AWS, and Confluent, Neil Lawrence, DeepMind Professor of Machine Learning at the University of Cambridge and previous Director of ML at Amazon, and Zhenwen Dai, former Machine Learning Scientist at AWS and Senior Research Manager at Spotify.

Co-founder and CTO Zhenwen Dai, Co-founder and Chief Scientist Neil Lawrence, Co-founder and CEO Eno Thereska.

The average long-term U.S. mortgage rate climbed this week to its highest level in nearly a year, driving up borrowing costs for prospective homebuyers.

The benchmark 30-year fixed rate mortgage rate rose to 6.55% from 6.49% last week, mortgage buyer Freddie Mac said Thursday. One year ago, the average rate was 6.75%.

Higher mortgage rates can add hundreds of dollars a month in costs for borrowers, limiting homebuyers’ purchasing power at a time when affordability challenges continue to sideline many aspiring homeowners.

Mortgage rates are influenced by several factors, from the Federal Reserve’s interest rate policy decisions to bond market investors’ expectations for the economy and inflation. They generally follow the trajectory of the 10-year Treasury yield, which lenders use as a guide to pricing home loans.

Rates have been mostly rising this year as the war with Iran has driven crude oil prices sharply higher, stoking expectations of hotter inflation. That's pushed up long-term bond yields relative to where they were before the conflict began in late February, causing mortgage rates to trend higher.

The 10-year Treasury yield was 4.57% at midday Thursday on the bond market, up from 4.54% a week ago. It was just 3.97% in late February, before the war broke out.

The average rate on a 30-year mortgage is now the highest it's been since Aug. 28, when it was at 6.56%. As recently as late February, the average rate dropped slightly below 6% for the first time since late 2022.

Borrowing costs on 15-year fixed-rate mortgages, often sought by borrowers refinancing a home loan, also rose this week. That average rate increased to 5.93% from 5.82% last week. A year ago, it was at 5.92%, Freddie Mac said.

A report this week showing prices paid by consumers for gas, clothes and other goods cooled last month could help take pressure off the Federal Reserve, which is considering raising interest rates.

The central bank doesn’t set mortgage rates, but its decisions to raise or lower its short-term rate are watched closely by bond investors and can ultimately affect the yield on 10-year Treasurys.

That cooler inflation reading “is a step in the right direction, but until mortgage rates actually follow suit, buyers will keep feeling the pinch of stubbornly high borrowing costs even as other conditions improve,” said Hannah Jones, senior economist at Realtor.com.

While average long-term mortgage rates remain lower than they were at this time last year, their upward trajectory has weighed on home sales this year.

And the latest monthly tally of home purchase transactions that have yet to be finalized points to potentially more sluggish home sales this summer.

Pending U.S. home sales fell 5.4% in June from the previous months and were down 0.3% from June last year, the National Association of Realtors said Thursday. There’s usually a month or two lag between a contract signing and when the sale is finalized, which makes pending home sales a near-term bellwether for the housing market.

Data on mortgage applications also signal that the upward trend in mortgage rates has given some would-be homebuyers reason to pause.

Mortgage applications, which include loans to buy a home or refinance an existing mortgage, fell 2.7% last week from the previous week, according to the Mortgage Bankers Association. The pullback was driven mainly by a 7% drop in applications to buy a home.

FILE - A sign is posted for a new home for sale in Ambler, Pa., Oct. 16, 2025. (AP Photo/Matt Rourke, File)